DOI: 10.1175/JCLI-D-11-00448.1
Scopus记录号: 2-s2.0-84874816692
论文题名: AMIP simulation with the CAM4 spectral element dynamical core
作者: Evans K.J. ; Lauritzen P.H. ; Mishra S.K. ; Neale R.B. ; Taylor M.A. ; Tribbia J.J.
刊名: Journal of Climate
ISSN: 8948755
出版年: 2013
卷: 26, 期: 3 起始页码: 689
结束页码: 709
语种: 英语
Scopus关键词: General circulation model
; Grid systems
; Model comparison
; Model evaluation/performance
; Primitive equations models
; Kinetics
; Climate models
; atmospheric modeling
; climate modeling
; computer simulation
; error analysis
; finite volume method
; general circulation model
; spectral analysis
英文摘要: The authors evaluate the climate produced by the Community Climate SystemModel, version 4, runningwith the new spectral element atmospheric dynamical core option. The spectral element method is configured to use a cubed-sphere grid, providing quasi-uniform resolution over the sphere and increased parallel scalability and removing the need for polar filters. It uses a fourth-order accurate spatial discretization that locally conserves mass and total energy. Using the Atmosphere Model Intercomparison Project protocol, the results from the spectral element dynamical core are compared with those produced by the default finite-volume dynamical core and with observations. Even though the two dynamical cores are quite different, their simulated climates are remarkably similar. When compared with observations, both models have strengths and weaknesses but have nearly identical root-mean-square errors and the largest biases show little sensitivity to the dynamical core. The spectral element core does an excellent job reproducing the atmospheric kinetic energy spectra, including fully capturing the observed Nastrom-Gage transition when running at 0.125° resolution. © 2013 American Meteorological Society. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/52011
Appears in Collections: 气候变化事实与影响
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作者单位: Oak Ridge National Laboratory, Oak Ridge, TN, United States; National Center for Atmospheric Research, Boulder, CO, United States; Sandia National Laboratories, P.O. Box 5800, Albuquerque, NM 87185-0370, Mexico
Recommended Citation:
Evans K.J.,Lauritzen P.H.,Mishra S.K.,et al. AMIP simulation with the CAM4 spectral element dynamical core[J]. Journal of Climate,2013-01-01,26(3)